TL;DR 本文提出SAR-W-SimMIM方法，通过加权损失减少ALOS-2 SAR图像的散斑噪声影响，并构建日本区域数据集解决地物分布不平衡问题，显著提升了自监督预训练在语义分割任务上的效果。 摘要 掩码自编码器（MAE）及相关方法在卫星影像领域展现出良好前景，但其在 ...

Semantic segmentation is a core task in computer vision, essential for applications requiring detailed scene understanding, such as medical imaging, precision agriculture, and remote sensing. Recent ...

Abstract: Variations in scene complexity and image quality across remote sensing images lead to inconsistent performance when applying pretrained semantic segmentation models. To ensure quality ...

Delta Air Lines is studying how to segment its premium cabins. The airline could offer different options that are similar to changes it's made in the coach cabin. Other airlines offer more spacious ...

ABSTRACT: To address the challenges of morphological irregularity and boundary ambiguity in colorectal polyp image segmentation, we propose a Dual-Decoder Pyramid Vision Transformer Network (DDPVT-Net ...

I'm interested in using Coconut for semantic segmentation. I'm looking at the semantic segmentation tutorial. Is it normal that, in the configuration in the conf folder, only instance segmentation and ...

To address the trade-off between segmentation performance and model lightweighting in computer-aided skin lesion segmentation, this paper proposes a lightweight network architecture, Multi-Conv ...